Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
Build & Train AI
Vertical AI
Explore our full suite of AI platforms, data marketplaces, and expert services designed to build, train, fine-tune, and deploy reliable, production-grade AI systems at scale.
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Frontier AI Research
Frontier AI Research
Frontier AI Research
Accelerating AI innovation through
Accelerating AI innovation through
Accelerating AI innovation through
rigorous, human-guided research.
rigorous, human-guided research.
rigorous, human-guided research.
AI Research requires more than experimentation—it demands rigor, reproducibility, and deep domain expertise. Centific partners with leading AI labs, enterprises, and research teams to advance model capabilities through structured data generation, evaluation, and experimentation.
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
The hidden infrastructure behind world-class AI models
Latest Research Publications
Research Foundations
Research Foundations
Applied Research
Applied Research
Applied Research
Built for scientific rigor and long-term AI advancement
ART: Action-based Reasoning Task Benchmarking for Medical AI Agents
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
ART: Action-based Reasoning Task Benchmarking for Medical AI Agents
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
ART: Action-based Reasoning Task Benchmarking for Medical AI Agents
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
Human + AI for Accelerating Ad Localization Evaluation
A modular framework for multilingual ad localization that combines scene text detection, inpainting, translation, and text reimposition, producing visually coherent and semantically accurate outputs with human-in-the-loop support.
Human + AI for Accelerating Ad Localization Evaluation
A modular framework for multilingual ad localization that combines scene text detection, inpainting, translation, and text reimposition, producing visually coherent and semantically accurate outputs with human-in-the-loop support.
Human + AI for Accelerating Ad Localization Evaluation
A modular framework for multilingual ad localization that combines scene text detection, inpainting, translation, and text reimposition, producing visually coherent and semantically accurate outputs with human-in-the-loop support.
ContraGen: A Multi-Agent Generation Framework for Contradictions Detection
A multi-agent framework for generating and detecting contradictions in synthetic enterprise documents, using hybrid NLI + LLM reasoning and human validation to benchmark and improve contradiction handling in RAG systems.
ContraGen: A Multi-Agent Generation Framework for Contradictions Detection
A multi-agent framework for generating and detecting contradictions in synthetic enterprise documents, using hybrid NLI + LLM reasoning and human validation to benchmark and improve contradiction handling in RAG systems.
ContraGen: A Multi-Agent Generation Framework for Contradictions Detection
A multi-agent framework for generating and detecting contradictions in synthetic enterprise documents, using hybrid NLI + LLM reasoning and human validation to benchmark and improve contradiction handling in RAG systems.
Scalable Multilingual PII Annotation for Responsible AI in LLMs
A multilingual, human-in-the-loop framework for PII annotation across 13 locales. Our phased pipeline boosts recall, lowers false positives, and delivers high-quality datasets for fine-tuning safer LLM guardrails.
Scalable Multilingual PII Annotation for Responsible AI in LLMs
A multilingual, human-in-the-loop framework for PII annotation across 13 locales. Our phased pipeline boosts recall, lowers false positives, and delivers high-quality datasets for fine-tuning safer LLM guardrails.
Scalable Multilingual PII Annotation for Responsible AI in LLMs
A multilingual, human-in-the-loop framework for PII annotation across 13 locales. Our phased pipeline boosts recall, lowers false positives, and delivers high-quality datasets for fine-tuning safer LLM guardrails.
Human + AI: Large-Scale Data Curation for Multilingual Guardrails
An AI-assisted framework that accelerates multilingual prompt authoring with synthetic PII and LLM-based validation, reducing annotation time by over 40% for underrepresented languages.
Human + AI: Large-Scale Data Curation for Multilingual Guardrails
An AI-assisted framework that accelerates multilingual prompt authoring with synthetic PII and LLM-based validation, reducing annotation time by over 40% for underrepresented languages.
Human + AI: Large-Scale Data Curation for Multilingual Guardrails
An AI-assisted framework that accelerates multilingual prompt authoring with synthetic PII and LLM-based validation, reducing annotation time by over 40% for underrepresented languages.
GAZE: Governance-Aware Pre-Annotation for Zero-shot World Model Environments
A multi-modal framework to automate video annotation for world models using AI, cutting manual review time by 31% and reducing human effort by >80% to solve the data bottleneck in AI training.
GAZE: Governance-Aware Pre-Annotation for Zero-shot World Model Environments
A multi-modal framework to automate video annotation for world models using AI, cutting manual review time by 31% and reducing human effort by >80% to solve the data bottleneck in AI training.
GAZE: Governance-Aware Pre-Annotation for Zero-shot World Model Environments
A multi-modal framework to automate video annotation for world models using AI, cutting manual review time by 31% and reducing human effort by >80% to solve the data bottleneck in AI training.
An Evaluation Study of Hybrid Methods for Multilingual PII Detection
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
An Evaluation Study of Hybrid Methods for Multilingual PII Detection
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
An Evaluation Study of Hybrid Methods for Multilingual PII Detection
A hybrid PII detection framework combining regular expressions and prompt based LLMs, benchmarked across 13 locales. The system outperforms NER and LLM-only baselines and supports scalable, regulation aware entity detection.
LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
A multi-agent framework for generating synthetic legal documents with contradictions to benchmark and improve RAG systems. It enables systematic evaluation of contradiction detection and resolution through automated mining and human-in-the-loop validation.
LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
A multi-agent framework for generating synthetic legal documents with contradictions to benchmark and improve RAG systems. It enables systematic evaluation of contradiction detection and resolution through automated mining and human-in-the-loop validation.
LegalWiz: A Multi-Agent Generation Framework for Contradiction Detection in Legal Documents
A multi-agent framework for generating synthetic legal documents with contradictions to benchmark and improve RAG systems. It enables systematic evaluation of contradiction detection and resolution through automated mining and human-in-the-loop validation.
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Trusted by institutions operating AI at scale
See how banks, fintechs, and ecommerce firms use Centific to build, automate, and scale AI operations.
See how banks, fintechs, and ecommerce firms use Centific to build, automate, and scale AI operations.
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Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
Centific Ecosystem
The Complete AI Stack
Built to advance, deploy, and govern intelligence
Build & Train AI
Platforms
Verticals
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Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
Research, insights, and updates
from the front lines of AI.
From applied research to real-world deployments, explore how Centific advances AI through data, evaluation, and expert-led execution.
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